Evidence map›Paper›PMID 35491624›Full record

ReviewCancer discovery2022

Adapted to Survive: Targeting Cancer Cells with BH3 Mimetics.

Joan Montero, Rizwan Haq

Open access · hybridAbstract readReview
In one paragraph

Review in Cancer discovery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
4.9field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 61 citations in OpenAlex.

  1. Trial
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  7. Regulated cell death programs shaping cancer therapy.Cellular oncology (Dordrecht, Netherlands) · 2026
    Review
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  17. Cancer Metastasis: Therapeutic Challenges and Opportunities.Medical oncology (Northwood, London, England) · 2025
    Review
  18. Review
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  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Joan Montero *Institute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.ORCID 0000-0002-9192-4836
Rizwan Haq *Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-1290-9276
Dana-Farber Cancer Institute · USInstitute for Bioengineering of Catalonia · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A hallmark of cancer is cell death evasion, underlying suboptimal responses to chemotherapy, targeted agents, and immunotherapies. The approval of the antiapoptotic BCL2 antagonist venetoclax has finally validated the potential of targeting apoptotic pathways in patients with cancer. Nevertheless, pharmacologic modulators of cell death have shown markedly varied responses in preclinical and clinical studies. Here, we review emerging concepts in the use of this class of therapies. Building on these observations, we propose that treatment-induced changes in apoptotic dependency, rather than pretreatment dependencies, will need to be recognized and targeted to realize the precise deployment of these new pharmacologic agents. SIGNIFICANCE: Targeting antiapoptotic family members has proven efficacious and tolerable in some cancers, but responses are infrequent, particularly for patients with solid tumors. Biomarkers to aid patient selection have been lacking. Precision functional approaches that overcome adaptive resistance to these compounds could drive durable responses to chemotherapy, targeted therapy, and immunotherapies.

Indexed as

Antineoplastic AgentsNeoplasmsApoptosisHumansProto-Oncogene Proteins c-bcl-2Antineoplastic AgentsProto-Oncogene Proteins c-bcl-2

Identifiers

PMID35491624
PMCPMC9306285
OpenAlexW4225307260

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.